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Python – PyTorch exp() method

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  • Last Updated : 26 May, 2020
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PyTorch torch.exp() method returns a new tensor after getting the exponent of the elements of the input tensor.
exp method

Syntax: torch.exp(input, out=None)

Arguments

  • input: This is input tensor.
  • out: The output tensor.

Return: It returns a Tensor.

Let’s see this concept with the help of few examples:
Example 1:




# Importing the PyTorch library 
import torch 
    
# A constant tensor of size n
a = torch.randn(6)
print(a)
  
# Applying the exp function and 
# storing the result in 'out'
out = torch.exp(a)
print(out)

Output:

1.0532
-1.9300
 0.6392
-0.7519
 0.9133
 0.3998
[torch.FloatTensor of size 6]
 2.8667
 0.1451
 1.8949
 0.4715
 2.4925
 1.4915
[torch.FloatTensor of size 6]

Example 2:




# Importing the PyTorch library 
import torch 
    
# A constant tensor of size n
a = torch.FloatTensor([1, 4, 6, 3])
print(a)
  
# Applying the exp function and 
# storing the result in 'out'
out = torch.exp(a)
print(out)

Output:

 1
 4
 6
 3
[torch.FloatTensor of size 4]
   2.7183
  54.5981
 403.4288
  20.0855
[torch.FloatTensor of size 4]
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